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A Distributed Application Placement and Migration Management Techniques for Edge and Fog Computing Environments
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/spe.2509openalex-snapshot
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
inferredcites →https://doi.org/10.1016/j.future.2018.02.014openalex-snapshot
User mobility aware task assignment for Mobile Edge Computing
inferredcites →https://doi.org/10.1016/j.future.2018.07.032openalex-snapshot
DMPO: Dynamic mobility-aware partial offloading in mobile edge computing
inferredcites →https://doi.org/10.1016/j.future.2018.12.055openalex-snapshot
A computation offloading method over big data for IoT-enabled cloud-edge computing
inferredcites →https://doi.org/10.1016/j.future.2019.01.059openalex-snapshot
Task migration for mobile edge computing using deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.jnca.2016.12.031openalex-snapshot
A fast hybrid multi-site computation offloading for mobile cloud computing
inferredcites →https://doi.org/10.1016/j.jnca.2019.102407openalex-snapshot
A fog-driven dynamic resource allocation technique in ultra dense femtocell networks
inferredcites →https://doi.org/10.1109/access.2019.2900530openalex-snapshot
Efficient Mobility-Aware Task Offloading for Vehicular Edge Computing Networks
inferredcites →https://doi.org/10.1109/access.2019.2908263openalex-snapshot
Mobility-Aware Task Offloading and Migration Schemes in Fog Computing Networks
inferredcites →https://doi.org/10.1109/icc.2015.7249199openalex-snapshot
Dynamic service placement for mobile micro-clouds with predicted future costs
inferredcites →https://doi.org/10.1109/isorc.2019.00033openalex-snapshot
URMILA: A Performance and Mobility-Aware Fog/Edge Resource Management Middleware
inferredcites →https://doi.org/10.1109/istel.2016.7881904openalex-snapshot
Mobile Cloud Computing: A multisite computation offloading
inferredcites →https://doi.org/10.1109/jiot.2019.2958400openalex-snapshot
Application Offloading Strategy for Hierarchical Fog Environment Through Swarm Optimization
inferredcites →https://doi.org/10.1109/jsac.2017.2760160openalex-snapshot
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks
inferredcites →https://doi.org/10.1109/jsac.2018.2869954openalex-snapshot
Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/mc.2010.98openalex-snapshot
Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?
inferredcites →https://doi.org/10.1109/mcc.2017.27openalex-snapshot
Mobility-Aware Application Scheduling in Fog Computing
inferredcites →https://doi.org/10.1109/sahcn.2018.8397129openalex-snapshot
Fog Following Me: Latency and Quality Balanced Task Allocation in Vehicular Fog Computing
inferredcites →https://doi.org/10.1109/tmc.2019.2957804openalex-snapshot
Delay-Aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tmc.2020.2967041openalex-snapshot
An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments
inferredcites →https://doi.org/10.1109/tnet.2015.2487344openalex-snapshot
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
inferredcites →https://doi.org/10.1109/tnet.2018.2873002openalex-snapshot
An Efficient Computation Offloading Management Scheme in the Densely Deployed Small Cell Networks With Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tnet.2018.2876941openalex-snapshot
A Distributed Computation Offloading Strategy in Small-Cell Networks Integrated With Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tnet.2019.2906638openalex-snapshot
Hierarchical Capacity Provisioning for Fog Computing
inferredcites →https://doi.org/10.1109/tnet.2019.2916577openalex-snapshot
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process
inferredcites →https://doi.org/10.1109/tnet.2020.2968209openalex-snapshot
Computation Offloading Scheduling for Periodic Tasks in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tnet.2020.2973800openalex-snapshot
Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services
inferredcites →https://doi.org/10.1109/tvt.2019.2894437openalex-snapshot
Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/wcnc.2019.8885747openalex-snapshot
Mobility-aware Task Offloading and Migration Schemes in SCNs with Mobile Edge Computing
inferredcites →https://doi.org/10.1145/3132211.3134463openalex-snapshot
Towards efficient edge cloud augmentation for virtual reality MMOGs
inferredcites →https://doi.org/10.1145/3186592openalex-snapshot
Latency-Aware Application Module Management for Fog Computing Environments
inferredcites →https://doi.org/10.1145/3344341.3368800openalex-snapshot
Microservices-based IoT Application Placement within Heterogeneous and Resource Constrained Fog Computing Environments
inferredcites →https://doi.org/10.23919/inm.2017.7987464openalex-snapshot
Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm
inferredcites →https://doi.org/10.3390/s19071488openalex-snapshot
Container Migration in the Fog: A Performance Evaluation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-99854-6_17openalex-snapshot
Auction-Based Placement of Function Chains in the Fog at Scale
inferred← citeshttps://doi.org/10.1007/978-3-032-16281-6_15openalex-snapshot
Hybrid Clustering Approach Using K-Means, SOM, and DDC for User Mobility Management in Fog Environments
inferred← citeshttps://doi.org/10.1007/978-981-19-3391-2_1openalex-snapshot
Container Orchestration in Edge and Fog Computing Environments for Real-Time IoT Applications
inferred← citeshttps://doi.org/10.1007/s10586-024-05076-0openalex-snapshot
Machine learning for user mobility management in a mobile fog computing environment
inferred← citeshttps://doi.org/10.1007/s11227-025-08099-5openalex-snapshot
A multi-environment-based two-way fault-tolerant scheme for resource allocation and data management in healthcare Internet of things
inferred← citeshttps://doi.org/10.1007/s11831-025-10227-6openalex-snapshot
Evaluation of Optimization Algorithm for Application Placement Problem in Fog Computing: A Systematic Review
inferred← citeshttps://doi.org/10.1016/j.future.2022.05.018openalex-snapshot
A proactive inference scheme for data-aware decision making in support of pervasive applications
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111351openalex-snapshot
iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments
inferred← citeshttps://doi.org/10.1016/j.phycom.2023.102109openalex-snapshot
A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications
inferred← citeshttps://doi.org/10.1109/access.2022.3176106openalex-snapshot
A Survey of State-of-the-art on Edge Computing: Theoretical Models, Technologies, Directions, and Development Paths
inferred← citeshttps://doi.org/10.1109/access.2024.3371993openalex-snapshot
DRL-Based Distributed Task Offloading Framework in Edge-Cloud Environment
inferred← citeshttps://doi.org/10.1109/iccae64891.2025.10980559openalex-snapshot
Decision-Making in Fog Computing: A Comparative Analysis of Pareto-Based Optimization and Weighted Objective Models for Application Placement
inferred← citeshttps://doi.org/10.1109/tmc.2021.3123165openalex-snapshot
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
inferred← citeshttps://doi.org/10.1109/tmc.2025.3593592openalex-snapshot
Distributed Asynchronous Service Provisioning in Edge-Cloud Multi-Tier Networks
inferred← citeshttps://doi.org/10.1109/tsc.2022.3144645openalex-snapshot
Cost-optimized, data-protection-aware offloading between an edge data center and the cloud
inferred← citeshttps://doi.org/10.1109/tsc.2023.3332308openalex-snapshot
: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog Computing Environments
inferred← citeshttps://doi.org/10.1109/ucc56403.2022.00063openalex-snapshot
Use of multilevel resource clustering for service placement in fog computing environments
inferred← citeshttps://doi.org/10.1145/3544836openalex-snapshot
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
inferred← citeshttps://doi.org/10.15439/2023f695openalex-snapshot
Is Homomorphic Encryption Feasible for Smart Mobility?
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2133563/v1openalex-snapshot
QoE Aware Application Placement in Fog Environment Using SAW Game Theory Method
inferred← citeshttps://doi.org/10.22399/ijcesen.4319openalex-snapshot
A mobility-aware service migration technique in fog computing environments
inferred← citeshttps://doi.org/10.23919/softcom58365.2023.10271640openalex-snapshot
Distributed Asynchronous Protocol for Service Provisioning in the Edge-Cloud Continuum
inferred← citeshttps://doi.org/10.3390/electronics12061452openalex-snapshot
Reliable Resource Allocation and Management for IoT Transportation Using Fog Computing
inferred← citeshttps://doi.org/10.36227/techrxiv.22761635openalex-snapshot
Asynchronous Distributed Protocol for Service Provisioning in the Edge-Cloud Continuum
inferred← citeshttps://doi.org/10.36227/techrxiv.22761635.v1openalex-snapshot
Asynchronous Distributed Protocol for Service Provisioning in the Edge-Cloud Continuum
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